Sr. Data Architect, Big Data

Job description

DESCRIPTION

At Amazon Web Services (AWS), we're hiring highly technical cloud computing architects to collaborate with our customers and partners on key engagements. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. These professional services engagements will focus on customer solutions such as HPC, Batch Data processing, MPP systems, Big Data and Business Intelligence.

This role will specifically focus on large scale data warehousing and database migration capabilities to help our customers and partners to remove the constraints that prevent them from leveraging their data to develop business insights. AWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about customer success. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs.

Responsibilities include:
· Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS services such as Amazon Redshift, Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, Relational Database Service (RDS) and Amazon Kinesis.
· Solution - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, generating consulting proposals, contributing to internal Area of Depth (AoD) programs, authoring AWS Big Data best practice blogs/whitepaper and creating packaged data service offerings.
· Delivery - Engagements include short on-site projects to assess and optimize customer's Amazon Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.

Desired profile

BASIC QUALIFICATIONS

· BA/BS degree or equivalent experience
· 10+ years of experience of IT platform implementation in a highly technical and analytical role.
· 5+ years' experience of Big Data platform implementation, including 3+ years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations.
· Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment. Track record of thought leadership and innovation around Big Data.
· Experience with analytic solutions applied to the Marketing or Risk needs of enterprises
· Highly technical and analytical, possessing 5 or more years of IT platform implementation experience.
· Deep understanding of Apache Hadoop 1/2 and the Hadoop ecosystem. Experience with one or more relevant tools ( Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro).
· Familiarity with one or more SQL-on-Hadoop technology (Hive, Pig, Impala, Spark SQL, Presto).
· Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc).
· Current hands-on implementation experience required
· Ability to travel to client locations to deliver professional services when needed.